Building NerveOS—

Rajashekar
Vennavelli

AI Engineer Fetch.ai · SF UC Berkeley

I build multi-agent AI systems, LLM integrations, and full-stack AI platforms. Currently at Fetch.ai in San Francisco, where I've shipped agentic demos at Google HQ and Y Combinator. Deepening foundations at UC Berkeley in data science and machine learning.

What I'm into

Hackathons

You'll find me at a hackathon most weekends — building, mentoring, or judging. One of the greatest freedoms we have is the freedom to create, and hackathons are where I feel that most vividly. Always hoping to meet you at the next one, or over food.

Travel

Hackathons have taken me across a lot of university campuses — MIT, Stanford, Princeton, Berkeley, and more. Outside of that, national parks are my reset. There's something grounding about open landscape after months of terminals and demo days.

AI for real problems

I keep coming back to education, climate, and civic infrastructure — not because they're fashionable, but because the gap between what AI can do and what actually exists in these domains is still enormous and worth closing.

Soccer

Real Madrid, always. I can watch the beautiful game for hours — especially at its highest level. There's something about the way elite teams move and coordinate under pressure that I find endlessly fascinating.

Experience

Nov 2024 — Now
San Francisco

AI Software Engineer

Fetch.ai

Building multi-agent systems and agentic frameworks. Shipped a 29-agent AI film studio demoed at Google HQ; architected the Google A2A protocol bridge for the uAgents ecosystem; deployed 15+ POCs across MCP, LangGraph, and CrewAI. Represented Fetch.ai at 10+ hackathons.

Jan — Oct 2024
Cupertino

Full Stack Engineer

AtlasNova AI

Serverless API workflows on AWS Lambda cutting latency 40%. Built an AI document generation system using GPT-4, Claude, and Gemini with custom RAG pipelines via Pinecone for enterprise clients.

2020 — 2021
Chennai

Software Engineer

Citibank

REST API development with JWT authentication; transitioned ACE Analytics from monolith to microservices.

Education

2025 — 2027
Berkeley, CA

UC Berkeley

AI Researcher · Data Science · NLP · Machine Learning

2022 — 2024
Santa Clara, CA

Santa Clara University

M.S. Computer Science & Engineering

Summer 2022
Stanford, CA

Stanford University

Summer Session

Algorithms (CS 161) and Technology Entrepreneurship. Pitched a robotics startup business plan to a panel of venture capitalists; worked through market analysis, business modelling, and go-to-market strategy with feedback from VCs and industry specialists.

Projects

View all ↗

Company Affiliated

29-Agent AI Film Studio

Fetch.ai · Demoed at Google HQ

29 coordinated agents orchestrating Google Veo 3.1, Gemini, Lyria, and TTS to produce full cinematic short films from a single prompt in ~90 seconds.

Fetch.ai ↗

SWE / Hackathon

Spec-to-Ship Agentic Builder

Y Combinator Agents Hackathon · 1st Place

Ingests frontend specs via Notion MCP, builds with Vercel V0, tests via Browser Use MCP, and iterates autonomously until every spec passes.

GitHub ↗

SWE / Hackathon

HiveMind

Stanford TreeHacks 2025 · 1st Place · Education Track

AI peer-to-peer platform reducing classroom knowledge disparities through adaptive tutoring using Groq, Perplexity Sonar, and InterSystems IRIS.

GitHub ↗

Awards

2026 HackPrinceton · Amazon AGI Labs Challenge · Princeton 1st Place

2025 Y Combinator Agents Hackathon · Best Agentic App 1st Place

2025 Stanford TreeHacks · Education Track Grand Prize 1st Place

2025 CalHacks · Best MCP Integration · UC Berkeley 1st Place

2025 UC Santa Cruz · Sustainability Track Grand Prize 1st Place

2025 AGI House · Small Language Model Build Day 1st Place

2025 AGI House · Agents in the Loop · Best Voice AI Prize

2024 HackMIT · MIT 3rd Place

2023 HackMIT · MIT 1st Place

2023 CalHacks · ML Innovation Challenge · UC Berkeley 1st Place

26 wins total — full list on Devpost ↗

RajashekarVennavelli

Want to buildsomething together?

Rajashekar
Vennavelli

Want to build
something together?